Process monitoring for covariance matrices with latent structures-Reference-Cited by-同舟云学术

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Process monitoring for covariance matrices with latent structures

Published:2024-08 Issue: Volume: Page:1-12
ISSN:2472-5854
Container-title:IISE Transactions
language:en
Short-container-title:IISE Transactions

Author:

Zou Qing¹,Li Jian¹,Ding Dong²,Tsung Fugee³⁴

Affiliation:

1. School of Management, Xi’an Jiaotong University, Xi’an, China

2. School of Management, Xi’an Polytechnic University, Xi’an, China

3. Department of Industrial Engineering and Decision Analytics, Hong Kong University of Science and Technology, Kowlong, Hong Kong

4. Information Hub, Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China

Funder

National Natural Science Foundation of China

Key Science Foundation of the Education Department of Shaanxi Provincial Government

National Key R&D Program of China

Guangzhou Industrial Information and Intelligent Key Laboratory Project

Nansha Key Area Science and Technology Project

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/24725854.2024.2374089

Reference37 articles.

1. Alt, F.B. (1984) Multivariate quality control, in Encyclopedia of Statistical Sciences, John Wiley, New York, pp. 110–122.

2. A review of dispersion control charts for multivariate individual observations

3. Detection of correlations;Arias-Castro E.;Annals of Statistics,2012

4. Two approaches to monitoring multivariate Poisson counts: Simple and accurate

5. A comparative study of deep neural network-aided canonical correlation analysis-based process monitoring and fault detection methods;Chen Z.;IEEE Transactions on Neural Networks and Learning Systems,2022

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